Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Stagger-and-step method: detecting and computing chaotic saddles in higher dimensions.

D Sweet1, H E Nusse, J A Yorke

  • 1Institute for Plasma Research and Department of Physics, University of Maryland, College Park 20742, USA.

Physical Review Letters
|April 6, 2001
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Quality improvement project to improve providers' goal-setting activity for chronic disease self-management.

Journal of healthcare quality research·2021
Same author

[European consensus guidelines on the management of neonatal respiratory distress syndrome in preterm infants--2013 update].

Zhonghua er ke za zhi = Chinese journal of pediatrics·2014
Same author

[European consensus guidelines on the management of neonatal respiratory distress syndrome].

Zhonghua er ke za zhi = Chinese journal of pediatrics·2008
Same author

Crossing bifurcations and unstable dimension variability.

Physical review letters·2006
Same author

Determination of the sensitivity and specificity of sibship calculations using AmpF lSTR Profiler Plus.

International journal of legal medicine·2002
Same author

The emotional and psychological impact of mass casualty incidents on forensic odontologists.

Journal of forensic sciences·2002
Same journal

Erratum: Bacterial Turbulence at Compressible Fluid Interfaces [Phys. Rev. Lett. 136, 138301 (2026)].

Physical review letters·2026
Same journal

Unveiling Light-Quark Yukawa Flavor Structure via Dihadron Fragmentation at Lepton Colliders.

Physical review letters·2026
Same journal

Adaptable Route to Fast Coherent State Transport via Bang-Bang-Bang Protocols.

Physical review letters·2026
Same journal

Topological Transition and Emergence of Elasticity of Dislocation in Skyrmion Lattice: Beyond Kittel's Magnetic-Polar Analogy.

Physical review letters·2026
Same journal

Pound-Drever-Hall Method for Superconducting-Qubit Readout.

Physical review letters·2026
Same journal

Coupling a ^{73}Ge Nuclear Spin to an Electrostatically Defined Quantum Dot in Silicon.

Physical review letters·2026
See all related articles

Scientists developed a new method to directly observe chaotic saddles, which cause chaotic transients in experiments. This breakthrough allows visualization of these complex phenomena in higher dimensions for the first time.

Area of Science:

  • Dynamical Systems and Chaos Theory
  • Fluid Dynamics
  • Computational Physics

Background:

  • Chaotic transients are observed in various physical experiments and simulations, such as fluid dynamics and coupled map lattices.
  • These transients arise from chaotic saddles, which are common in high-dimensional dynamical systems.
  • Direct observation of chaotic saddles has been a significant challenge, limiting understanding of their impact on experimental measurements.

Purpose of the Study:

  • To present the first general method for locating and visualizing chaotic saddles in higher-dimensional dynamical systems.
  • To enable direct observation of phenomena previously only inferred from experimental data.

Main Methods:

  • Development of a novel technique to identify and map the structure of chaotic saddles.

Related Experiment Videos

  • Application of the method to relevant experimental and simulation contexts.
  • Main Results:

    • Successful location and visualization of chaotic saddles in higher dimensions.
    • Demonstration of the method's applicability across different types of systems.

    Conclusions:

    • The presented method provides a direct observational tool for chaotic saddles.
    • This facilitates a deeper understanding of chaotic transients and their influence on physical systems.